A5106339107- Model Reduction and Neural Networks
- Computational Fluid Dynamics and Aerodynamics
- Probabilistic and Robust Engineering Design
Université Paris-Saclay
2024
Commissariat à l'Énergie Atomique et aux Énergies Alternatives
2024
CEA Paris-Saclay
2024
Sorbonne Université
2024
Université Paris Cité
2024
Laboratoire Jacques-Louis Lions
2024
Centre National de la Recherche Scientifique
2024
Abstract This work presents a comprehensive framework for the sensitivity analysis of Navier–Stokes equations, with an emphasis on stability estimate discretized first‐order equations. The equations is defined using polynomial chaos method, and finite element‐volume numerical scheme suggested. method integrated into open‐source industrial code TrioCFD developed by CEA. discretization extended to most significant original point nonlinear term. A continuous discrete established. Finally, tests...